Reinforcement learning uses rewards and penalties to teach computers how to play games and robots how to perform tasks independently You have probably heard about Google DeepMind’s AlphaGo program, ...
Deep reinforcement learning is one of the most interesting branches ofartificial intelligence. It is behind some of the most remarkable achievements of the AI community, including beating human ...
Reinforcement learning is a subset of machine learning. It enables an agent to learn through the consequences of actions in a specific environment. It can be used to teach a robot new tricks, for ...
Interesting Engineering on MSN
New in orbit trial proves AI can learn, simulate, and control satellites independently
The approach promises faster development and adaptive performance. Traditional controllers often take months of expert tuning ...
It was not long ago that the world watched World Chess Champion Garry Kasparov lose a decisive match against a supercomputer. IBM’s Deep Blue embodied the state of the art in the late 1990s, when a ...
As a true milestone on the path to autonomous space systems, a research team at Julius-Maximilians-Universität Würzburg (JMU) ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Ashutosh Trivedi, an assistant professor in the Department of Computer Science at CU Boulder, is working to democratize artificial intelligence by making machine learning more programmable, ...
In a paper unveiled this week, "Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos," OpenAI researchers Bowen Baker and team break ground in the use of large datasets to ...
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